Retail sale of leather goods and luggage companies in Berlin

Berlin ·Currently listed companies in the Retail sale of leather goods and luggage industry headquartered in Berlin.

14 companies

Andreas Guba, Lederwaren HRA 28003 Charlottenburg (Berlin) (Berlin) · 2005
b1e9e697af…
Avantgarde Internationale Lederwaren Heinz Mayer HRA 16393 Charlottenburg (Berlin) (Berlin) · 2005
b82750966b…
City Ledermoden, Inhaberin Herta Korenzecher HRA 20661 Charlottenburg (Berlin) (Berlin) · 2005
3763f09536…
Dirk Stahl Lederwaren HRA 23109 Charlottenburg (Berlin) (Berlin) · 2005
de960a97c3…
Ihr Reisemarkt 52 GmbH HRB 144616 Charlottenburg (Berlin) (Berlin) · 2012
66b45de1d8…
Knapp's Offenbacher Leder-Haus Inh.: Ludwig Knapp HRA 10916 Charlottenburg (Berlin) (Berlin) · 2005
17935d9833…
Leder Hobby e.K. HRA 65276 Charlottenburg (Berlin) (Berlin) · 2026
18656cf731…
Leder Point e.K. HRA 49132 Charlottenburg (Berlin) (Berlin) · 2014
5c0f509cda…
Lederwaren Bedarf Friedrich Lutosch HRA 7183 Charlottenburg (Berlin) (Berlin) · 2005
c17d961dfe…
LIFF UG (haftungsbeschränkt) HRB 214392 Charlottenburg (Berlin) (Berlin) · 2020
f6bdd6a61f…
Manu Materia UG (haftungsbeschränkt) HRB 285519 Charlottenburg (Berlin) (Berlin) · 2026
f234e2d630…
PINK GLOBUS Reise-Shop e.K. HRA 63286 Charlottenburg (Berlin) (Berlin) · 2024
4fb191348e…
Sabine Pohlmann Lederwaren und Reisegepäck e.K. HRA 29179 Charlottenburg (Berlin) (Berlin) · 2005
56f8346ec3…
TaschenShop Inhaberin Sabine Stahl HRA 26467 Charlottenburg (Berlin) (Berlin) · 2005
ca5a50fbd0…

All industries in Berlin

Live API

GEThandelsregister.ai/api/v1/search-organizations

?limit=20

&filters={"city":"Berlin","industry_code":"47.72.2","industry_scheme":"WZ2025"}

# pip install handelsregister
from handelsregister import Handelsregister

client = Handelsregister(api_key="YOUR_API_KEY")  # or set HANDELSREGISTER_API_KEY
page = client.search_organizations(
    filters={
        "city": "Berlin",
        "industry_code": "47.72.2",
        "industry_scheme": "WZ2025"
    },
    limit=20,
    skip=0,
)
print(page["total"])
for item in page["results"]:
    print(item["name"], item["registration"]["register_number"])

// npm install handelsregister
import { Handelsregister } from 'handelsregister';

const client = new Handelsregister('YOUR_API_KEY'); // or set HANDELSREGISTER_API_KEY
const page = await client.searchOrganizations({
  filters: {
      "city": "Berlin",
      "industry_code": "47.72.2",
      "industry_scheme": "WZ2025"
  },
  limit: 20,
  skip: 0,
});
console.log(page.total);
for (const item of page.results) {
  console.log(item.name, item.registration.register_number);
}

// npm install handelsregister
const { Handelsregister } = require('handelsregister');

const client = new Handelsregister(process.env.HANDELSREGISTER_API_KEY);
(async () => {
  const page = await client.searchOrganizations({
    filters: {
        "city": "Berlin",
        "industry_code": "47.72.2",
        "industry_scheme": "WZ2025"
    },
    limit: 20,
    skip: 0,
  });
  console.log(page.total);
  for (const item of page.results) {
    console.log(item.name, item.registration.register_number);
  }
})();

curl 'https://handelsregister.ai/api/v1/search-organizations?limit=20' \
  -H 'x-api-key: YOUR_API_KEY' \
  -G --data-urlencode 'filters={"city":"Berlin","industry_code":"47.72.2","industry_scheme":"WZ2025"}'

{
    "results": [
        {
            "entity_id": "<32-char hex>",
            "name": "<string>",
            "registration": {
                "court": "<string>",
                "register_type": "<string>",
                "register_number": "<string>"
            },
            "address": {
                "house_number": "<string>",
                "street": "<string>",
                "postal_code": "<string>",
                "city": "<string>",
                "county": "<string>",
                "state": "<string>",
                "country": "<ISO country>",
                "coordinates": {
                    "latitude": "<float>",
                    "longitude": "<float>"
                }
            },
            "registration_date": "<ISO date>",
            "purpose": "<string>"
        }
    ],
    "total": "<int>",
    "meta": {
        "request_credit_cost": "<int>",
        "credits_remaining": "<int>"
    }
}

results[]

entity_id string

Stable 32-char hex identifier. Pass straight into /fetch-organization as `q`.

name string

Registered company name.

registration object

address object

Postal address with street, house_number, postal_code, city, county, state, country and coordinates (latitude/longitude).

registration_date date

Initial entry into the commercial register (ISO date).

purpose string

Stated business purpose (Unternehmensgegenstand).

top-level

total integer

Total result count for pagination.

meta.request_credit_cost integer

Credits actually charged for this call.

meta.credits_remaining integer

Account credit balance remaining after this call.

Location · Industry · Legal form · Full-text

Filters & master data — via search-organizations

City, industry, legal form, registration date: every argument combinable through the filters parameter. One REST endpoint, every German company.

Location & geo Filter by city, postal code, state and county through city, postal_code, state and county.
Industry (WZ2025) Industry segmentation via the official WZ2025 codes — industry_code combined with industry_scheme.
Legal form GmbH, AG, KG, OHG and more via legal_form_code.
Company size bs_company_size_category – small, medium, large based on balance-sheet totals.
Active status Restrict to active entries or include deleted companies via active.
Registration date Date ranges via registration_date_from and registration_date_to.
Full-text search Free-text query via the q parameter (min. 2 characters).
Pagination skip and limit (up to 30 results per call) for deep lists.
Master data per result entity_id, name, address, registration and registration_date – pass entity_id straight to /fetch-organization.

Run every filter live with an API key. Get an API key →

Code · AI-Agents · No-Code · Workflows

Drops into any stack

The search-organizations API speaks every mainstream client: REST, Python, Node, MCP for AI agents, n8n and webhook platforms.

REST API Simple GET request with the X-API-KEY header and JSON-encoded filters. Python requests, httpx or your favourite library — pass filters via json.dumps. Node.js fetch or axios with URLSearchParams. Works in edge, worker and browser runtimes. MCP Server Directly in Claude, Cursor or any MCP-aware AI client as the search_organizations tool. n8n Pre-built custom node for workflow automation — city, industry and size as filter inputs. Webhook Callable from Zapier, Make or any other webhook platform.

This list in your app

Grab an API key and filter every German company by city, industry, size and more — straight from your application. One REST endpoint, every result.

Get an API key

Filters & master data — via search-organizations

Drops into any stack

This list in your app

Cookie Settings

Customize Cookie Settings